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  • Inhibitor for Chronic Obstructive Pulmonary Disease.png
    Researchers Discover Inhibitor for Chronic Obstructive Pulmonary Disease

    Recently, a research team led by Profs. LIU Qingsong and LIU Jing from the Institute of Health & Medical Technology of the Hefei Institutes of Physical Science (HFIPS) discovered a potent and selective PI3Kδ inhibitor IHMT-PI3Kδ-372, which exhibited anti- Chronic Obstructive Pulmonary Disease (COPD) efficacy in vivo.

    Dec 02, 2020
  • Classification of genes encoding motility and chemotaxis proteins in rhizosphere, root, nodule bacteria, and bacteroid INSeq libraries (Image by Oxford and WBG).jpg
    Rhizobium Adapts Lifestyles from Rhizosphere to Symbiosis

    By using multistage mariner transposon - insertion sequencing, researchers from the Wuhan Botanical Garden presented an in-depth investigation of N2- fixing bacterial interactions with a host legume during symbiosis by examining bacterial gene requirement at different stages of rhizosphere growth, root colonization, and nodulation.

    Dec 03, 2020
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Earth Sciences
Information Tech
  • fire detection.jpg
    Vision-based Fire Detection Facilities Work Better under New Deep Learning Model

    Researchers from the Institute of Acoustics proposed an efficient deep learning model for fast and accurate vision-based fire detection. The model is based on multiscale feature extraction, implicit deep supervision, and channel attention mechanism.

    Nov 19, 2020
  • origami robot locomo[00-00-07][20201118-100624650].jpg
    Magnetic Spray: Giving Inanimate Objects New Bionergy

    Researchers from the Shenzhen Institutes of Advanced Technology (SIAT), together with the City University of Hong Kong (CityU), have developed an agglutinate, reprogrammable, disintegrable and biocompatible magnetic spray (M-spray) that can easily turn inanimate objects into millirobots.

    Nov 19, 2020
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Tech Sciences
  • Diagram of space debris detection
    Researchers Find Way to Protect Spacecraft by Using Deep Feature Learning

    Recently, researchers began to use image processing methods with deep learning models to detect dim and small objects. A research team working with Dr. WEI Xin from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) proposed a space debris detection method using feature learning of candidate regions in optical image sequences.

    Nov 13, 2020
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    Deep Learning Drives 3D Imaging Restoration of Spinning-disk Confocal Microscopy Faster

    A research team led by Prof. YAO Baoli from the Xi'an Institute of Optics and Precision Mechanics proposed a novel deep learning network for 3D imaging of spinning-disk confocal microscopy (SDCM), named the SRRF-Deep. This network builds a 2.5D model with context information across neighboring pixels in z-scanning to facilitate the reconstruction of an optical slice in 3D imaging.

    Nov 04, 2020
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